A large dataset of semantic ratings and its computational extension (vol 10, 106, 2023)
文献类型:期刊论文
作者 | Wang, Shaonan1,2; Zhang, Yunhao1,2; Shi, Weiting3,4; Zhang, Guangyao3,4; Zhang, Jiajun1,2; Lin, Nan3,4; Zong, Chengqing1,2 |
刊名 | SCIENTIFIC DATA |
出版日期 | 2023-08-22 |
卷号 | 10期号:1页码:1 |
通讯作者邮箱 | linn@psych.ac.cn (nan lin) |
DOI | 10.1038/s41597-023-02479-3 |
产权排序 | 1 |
文献子类 | 实证研究 |
英文摘要 | Evidence from psychology and cognitive neuroscience indicates that the human brain's semantic system contains several specific subsystems, each representing a particular dimension of semantic information. Word ratings on these different semantic dimensions can help investigate the behavioral and neural impacts of semantic dimensions on language processes and build computational representations of language meaning according to the semantic space of the human cognitive system. Existing semantic rating databases provide ratings for hundreds to thousands of words, which can hardly support a comprehensive semantic analysis of natural texts or speech. This article reports a large database, the Six Semantic Dimension Database (SSDD), which contains subjective ratings for 17,940 commonly used Chinese words on six major semantic dimensions: vision, motor, socialness, emotion, time, and space. Furthermore, using computational models to learn the mapping relations between subjective ratings and word embeddings, we include the estimated semantic ratings for 1,427,992 Chinese and 1,515,633 English words in the SSDD. The SSDD will aid studies on natural language processing, text analysis, and semantic representation in the brain. |
收录类别 | SCI |
WOS研究方向 | Science & Technology - Other Topics |
出版者 | NATURE PORTFOLIO |
WOS记录号 | WOS:001052837500005 |
源URL | [http://ir.psych.ac.cn/handle/311026/45908] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
通讯作者 | Lin, Nan |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China 4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Shaonan,Zhang, Yunhao,Shi, Weiting,et al. A large dataset of semantic ratings and its computational extension (vol 10, 106, 2023)[J]. SCIENTIFIC DATA,2023,10(1):1. |
APA | Wang, Shaonan.,Zhang, Yunhao.,Shi, Weiting.,Zhang, Guangyao.,Zhang, Jiajun.,...&Zong, Chengqing.(2023).A large dataset of semantic ratings and its computational extension (vol 10, 106, 2023).SCIENTIFIC DATA,10(1),1. |
MLA | Wang, Shaonan,et al."A large dataset of semantic ratings and its computational extension (vol 10, 106, 2023)".SCIENTIFIC DATA 10.1(2023):1. |
入库方式: OAI收割
来源:心理研究所
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